LandingLens Workflow
- 15 Feb 2024
- 1 Minute to read
- Print
- DarkLight
- PDF
LandingLens Workflow
- Updated on 15 Feb 2024
- 1 Minute to read
- Print
- DarkLight
- PDF
Article Summary
Share feedback
Thanks for sharing your feedback!
LandingLens is a cloud-based platform that allows you to develop and deploy computer vision models, all without needing a background in deep learning or artificial intelligence.
After you sign up for LandingLens, follow this workflow to create and deploy your computer vision model:
- Create a project.
- Upload images to that project.
- Create classes.
- Label your images.
- Train your model.
- Review the predictions. If needed, improve your dataset, retrain your model, and repeat until you're happy with your model's performance.
- Deploy your model.
LandingLens Video Walk-Through
Learn how to use LandingLens directly from Andrew Ng, the Founder of Landing AI! In the following video, Andrew Ng walks you through the process of creating a computer vision model in LandingLens. He explains how to upload images, train a model, and test it on new images it has never seen before!
Note:
Want to see more videos about how to use LandingLens? Check out our Video Tutorial Library!
Was this article helpful?